{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T04:56:59Z","timestamp":1769317019828,"version":"3.49.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10095151","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction"],"prefix":"10.1109","author":[{"given":"Zilong","family":"Li","sequence":"first","affiliation":[{"name":"Heilongjiang University,Department of Computer Science and Technology,China"}]},{"given":"Qianqian","family":"Ren","sequence":"additional","affiliation":[{"name":"Heilongjiang University,Department of Computer Science and Technology,China"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"Heilongjiang University,Department of Computer Science and Technology,China"}]},{"given":"Jianguo","family":"Sun","sequence":"additional","affiliation":[{"name":"Heilongjiang University,Department of Computer Science and Technology,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449816"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467275"},{"key":"ref15","author":"xu","year":"0","journal-title":"Instance-wise graph-based framework for multivariate time series forecasting"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14778\/3503585.3503604"},{"key":"ref20","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref10","article-title":"Mixed-order relation-aware recurrent neural networks for spatio-temporal forecasting","author":"liang","year":"2022","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015668"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330884"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17114"},{"key":"ref16","first-page":"5617","article-title":"Deep learning for precipitation nowcasting: A benchmark and A new model","author":"shi","year":"2017","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref18","article-title":"Sequence to sequence learning with neural networks","volume":"27","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref8","author":"chen","year":"2022","journal-title":"Learning sparse and continuous graph structures for multivariate time series forecasting"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3469087"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403389"},{"key":"ref4","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref3","author":"wu","year":"2016","journal-title":"Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework"},{"key":"ref6","author":"yu","year":"2017","journal-title":"Spatio-temporal graph convolutional networks A deep learning framework for traffic forecasting"},{"key":"ref5","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume":"29","author":"defferrard","year":"2016","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10095151.pdf?arnumber=10095151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:09:18Z","timestamp":1700507358000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10095151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10095151","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}